github.com/apache/beam/sdks/v2@v2.48.2/python/apache_beam/io/external/generate_sequence.py (about) 1 # 2 # Licensed to the Apache Software Foundation (ASF) under one or more 3 # contributor license agreements. See the NOTICE file distributed with 4 # this work for additional information regarding copyright ownership. 5 # The ASF licenses this file to You under the Apache License, Version 2.0 6 # (the "License"); you may not use this file except in compliance with 7 # the License. You may obtain a copy of the License at 8 # 9 # http://www.apache.org/licenses/LICENSE-2.0 10 # 11 # Unless required by applicable law or agreed to in writing, software 12 # distributed under the License is distributed on an "AS IS" BASIS, 13 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 14 # See the License for the specific language governing permissions and 15 # limitations under the License. 16 # 17 18 # pytype: skip-file 19 20 from apache_beam.transforms.external import ExternalTransform 21 from apache_beam.transforms.external import ImplicitSchemaPayloadBuilder 22 23 24 class GenerateSequence(ExternalTransform): 25 """ 26 An external PTransform which provides a bounded or unbounded stream of 27 integers. 28 29 Note: To use this transform, you need to start the Java expansion service. 30 Please refer to the portability documentation on how to do that. The 31 expansion service address has to be provided when instantiating this 32 transform. During pipeline translation this transform will be replaced by 33 the Java SDK's GenerateSequence. 34 35 If you start Flink's job server, the expansion service will be started on 36 port 8097. This is also the configured default for this transform. For a 37 different address, please set the expansion_service parameter. 38 39 For more information see: 40 - https://beam.apache.org/documentation/runners/flink/ 41 - https://beam.apache.org/roadmap/portability/ 42 43 Note: Runners need to support translating Read operations in order to use 44 this source. At the moment only the Flink Runner supports this. 45 46 Experimental; no backwards compatibility guarantees. 47 """ 48 URN = 'beam:external:java:generate_sequence:v1' 49 50 def __init__( 51 self, 52 start, 53 stop=None, 54 elements_per_period=None, 55 max_read_time=None, 56 expansion_service=None): 57 super().__init__( 58 self.URN, 59 ImplicitSchemaPayloadBuilder({ 60 'start': start, 61 'stop': stop, 62 'elements_per_period': elements_per_period, 63 'max_read_time': max_read_time, 64 }), 65 expansion_service)